Dataanalysis Of Power Communication Machine Room Based On BP Neural Network

Big data analysis technology has played a positive role in many fields more and more widely,but at present some enterprises store a large amount of important data information has not been well used.Priorities in Inner Mongolia,a power company’s existing power communication equipment room data information has such problems as lagging data utilization rate is not high,early warning,in view of this,based on the optimized BP neural network,and by using the optimization algorithm of electric power communication equipment room data is analyzed,the results of the analysis can realize the management of computer room early warning,for the electric power communication equipment room construction guarantee of wisdom.BP neural network is a commonly used data analysis methods,the BP neural network is easy to fall into local optimum,poor generalization ability of the problem,in this paper,aiming at certain its Inner Mongolia electric power company of electric power communication machine room monitoring data,through analysis of characteristics of the data quality analysis,data and other data in the clutter data out,using the random forest algorithm to fill the missing value,Realize data preprocessing to meet the requirements of data analysis and modeling.Next,particle swarm optimization algorithm and gray Wolf algorithm are used to optimize BP neural network respectively for data analysis by selecting appropriate fitness function.The results of data analysis are applied to the monitoring of power communication room,and the early warning is realized through prediction.Simulation results show that particle swarm optimization algorithm,from the BP neural network algorithm to optimize the BP neural network for data analysis of mean square error reduced 0.005,respectively,the training speed of 50 times,165 times,the forecasting results of two kinds of optimization algorithm can realize electric power communication equipment room and warning,the gray Wolf algorithm optimization algorithm,the effect is much better.